Siwei Xia
Impact in
- Hepatology top 10%
- Liver physiology and pathology
-
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
Papers in
- Epidemiology 10
- Liver Disease Diagnosis and Treatment 6
- Autophagy in Disease and Therapy 4
-
- RNA modifications and cancer 3
- Co-authors
- Zili Zhang (15 shared papers)Jiangjuan Shao (14 shared papers)Shizhong Zheng (16 shared papers)Zhanghao Li (7 shared papers)Feixia Wang (11 shared papers)Sumin Sun (7 shared papers)Baoyu Liang (3 shared papers)Ying Su (4 shared papers)
- Journals
- Phytomedicine (2 papers)Journal of Ethnopharmacology (2 papers)Pharmacological Research (2 papers)Frontiers in Pharmacology (1 paper)Signal Transduction and Targeted Therapy (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Siwei Xia
29 papers receiving 602 citations
Siwei Xia's Hit Papers
Peers
Comparison fields: 5 of 88
- Hepatology 85
- Cancer Research 83
- Epidemiology 150
- Cell Biology 70
- Pharmacology 26
Countries citing papers authored by Siwei Xia
This map shows the geographic impact of Siwei Xia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Siwei Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siwei Xia more than expected).
Fields of papers citing papers by Siwei Xia
This network shows the impact of papers produced by Siwei Xia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Siwei Xia. The network helps show where Siwei Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Siwei Xia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 96 | |
| 2 | Canonical Wnt signaling promotes HSC glycolysis and liver fibrosis through an LDH-A/HIF-1α transcriptional complex Hit paper breakdown → | 2023 | 91 |
| 3 | 2020 | 90 | |
| 4 | 2021 | 45 | |
| 5 | 2022 | 31 | |
| 6 | 2023 | 27 | |
| 7 | 2023 | 23 | |
| 8 | 2022 | 22 | |
| 9 | 2021 | 20 | |
| 10 | 2023 | 20 | |
| 11 | 2021 | 18 | |
| 12 | 2022 | 16 | |
| 13 | 2022 | 14 | |
| 14 | 2022 | 13 | |
| 15 | 2024 | 13 | |
| 16 | 2021 | 11 | |
| 17 | 2020 | 11 | |
| 18 | 2019 | 10 | |
| 19 | 2024 | 8 | |
| 20 | 2023 | 5 |
About Siwei Xia
Siwei Xia is a scholar working on Epidemiology, Molecular Biology, Cancer Research, Hepatology and Cell Biology, having authored 30 papers that have together received 604 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Liver physiology and pathology (4 papers), Autophagy in Disease and Therapy (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), RNA modifications and cancer (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Ferroptosis and cancer prognosis (2 papers) and Stock Market Forecasting Methods (2 papers). The work is most often cited by research in Hepatology (85 citations), Cancer Research (83 citations), Epidemiology (150 citations), Cell Biology (70 citations) and Pharmacology (26 citations). Siwei Xia has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zili Zhang, Jiangjuan Shao, Shizhong Zheng, Zhanghao Li, Feixia Wang, Sumin Sun, Baoyu Liang, Ying Su, Xuefen Xu and Desong Kong. Their work appears in journals such as Phytomedicine, Journal of Ethnopharmacology, Pharmacological Research, Frontiers in Pharmacology and Signal Transduction and Targeted Therapy.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.